Spatial processes and Galois/concept lattices
There is a fair amount of interest in the use of Galois or Concept Lattices in the social sciences as a way of representing complex data structures; it does not seem to be widely appreciated that these structures are homologous to those arising from a discrete noncompensatory multidimensional response process, as originally outlined by Coombs. Here I formalize the spatial intuition underlying Coombs’s proposal, and show how, for any set of data, we may recreate the set of all possible minimal spatial representations. Copyright Springer Science+Business Media Dordrecht 2014
Volume (Year): 48 (2014)
Issue (Month): 2 (March)
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References listed on IDEAS
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- Monjardet, Bernard, 2003. "The presence of lattice theory in discrete problems of mathematical social sciences. Why," Mathematical Social Sciences, Elsevier, vol. 46(2), pages 103-144, October.
- Susan Whitely, 1980. "Multicomponent latent trait models for ability tests," Psychometrika, Springer;The Psychometric Society, vol. 45(4), pages 479-494, December.
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- Michael Greenacre, 1988. "Clustering the rows and columns of a contingency table," Journal of Classification, Springer;The Classification Society, vol. 5(1), pages 39-51, March.
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